Following the successful NSF QuantumOS workshop hosted in 2024 in Austin, TX, we invite you to attend the second workshop QAISys 2026 in Washington, DC.
Quantum computing is moving beyond proof-of-concept demonstrations into an era defined by systems challenges. The central question is no longer whether individual components work, but how to co-design algorithms, software, and hardware into integrated, high-performance, fault-tolerant systems. Achieving scalable quantum advantage requires careful orchestration across the entire computing stack, from real-time OS primitives and adaptive compilers to distributed classical co-processors and edge-connected infrastructure.
At the same time, rapid advances in artificial intelligence offer powerful new tools for managing system complexity. Embedding AI-driven optimization into quantum compilers, control loops, error decoding pipelines, and calibration workflows may fundamentally reshape how quantum systems are built and operated. The resulting intersection defines the focus of this workshop.
QAISys (pronounced “Kay-see’s”) brings together researchers from quantum computing, computer systems, AI, and edge computing to surface open problems, challenge assumptions, and define the research agenda for integrated quantum-AI systems. The workshop features invited talks, lightning presentations, panel discussions, and collaborative breakout sessions organized around four research thrusts.
This workshop is supported by the US National Science Foundation Award #2435033.
We welcome submissions presenting a clear perspective, challenging an assumption, or proposing a new research direction. Both technical and visionary perspectives are encouraged. Original research, works-in-progress, and position statements drawing on previously published results are all in scope.
Accepted abstract will be distributed during the workshop and will be considered for a talk and/or poster presentation. Since the abstracts are not considered as proceedings in the ACM/IEEE digital libraries, they can be submitted to other venues without restrictions.
Accepted papers will be invited for a lightning talk and/or poster presentation; selected authors will participate in moderated panel discussions
Please follow the instructions below to prepare and submit your abstract. If you have any questions, please contact Florian Carle from the Yale Quantum Institute
QAISys is aimed at researchers and practitioners working at the intersection of quantum computing, computer systems, and AI. We especially encourage submissions from:
Yongshan Ding (Co-Chair), Yale
Yiran Chen (Co-Chair), Duke
Zheng Zhang, Rutgers
Yunong Shi, AWS/UMich
Frank Müller, NC State
Lin Zhong (Yale)
Kenneth Brown (Duke)
Rajashi Runton, Duke Athena AI Institute
Florian Carle, Yale Quantum Institute